Abstract

Batam is one of the fastest growing cities in Indonesia that has resulted in increasing demand for industrial, commercial and residential areas. However, due to limited land supply there is a process of transferring existing land functions. By detecting changes in land use, we can find out how much land use changes are influenced by social, economic and industrial in Batam Island. This research was conducted on the detection of land use change using Remote Sensing multi-temporal or differentiated image of the year with a supervised Classification Technique to obtain Land use information and changes in Batam Island, area percentage of land use change from 2010 and 2016 in Batam Island, determining the relationship of land use change to conditions in the industry sector presented in to the maps. The calculation result of classification accuracy test obtained total overall accuracy of 88% where the classification results can be said true and almost in accordance with the field. The relationship between land use classification change with industrial condition on the Non-Agricultural area I can be said to related with the number of companies and the labors number on the data of labor changes from Central Bureau of Statistic/Badan Pusat Statistik (BPS) 2010-2014 with the assumption of changing function and the many needs of various land uses sector except agriculture, the Non-Agriculture Area II can be said to be related with the number of companies and the number of labors in the data of labor changes BPS 2010-2014 with the assumption of changing function and the many land use needs of various sectors except agriculture, increased farming can be said to be related with the number of agriculture companies that also increases in data of labor changes BPS 2010-2014, the area of the Areas without Vegetation Coverage Class increased can be said to have influence with the number increased of companies and the number of manpower on the data labor changes BPS 2010-2014 with the assumption that there are many land use needs of various sectors except agriculture.

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